Dynamic Physical/Data-Driven Models for System-Level Prognostics and Health Management

The scope of the Phase II efforts is to develop and demonstrate the underlying software technology and use case implementation process for a common Modeling Environment for Data-Driven Diagnostics and Prognostics Development. The work performed under this effort will advance the electronics prognostics and health management (PHM) toolset and development framework defined under the Phase I research, add components to support multiple aircraft domains, and integrate relevant tools and research work conducted by our research partner, Montana State University. Using the work products produced during the Phase I effort, the objective is to advance this work by developing a Minimum Viable Product (prototype software) and move toward a common, standards-based, modeling environment to support the development of data-driven diagnostics and prognostics applications for the aircraft automated ground support system. The modeling environment enables support of automatic test system (ATS) and PHM capability development and maturity level enhancement processes.   The efforts are designed to advance the ePHM toolset and development framework defined by GSS under the Phase I efforts to enable implementations across aviation platforms. The value of this approach to the U.S. Navy (and the DoD) is that the modeling environment can support a legacy platform, and at the same time move toward a standardized open system to support new platforms. This dual path of maturation and transition process provides for immediate impact on legacy platforms and positioning for transition to support future fleet platforms.